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How does fuzzy string matching algorithm work in RUP (Recursive Uniform Pattern Matching)? 


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The fuzzy string matching algorithm in Recursive Uniform Pattern Matching (RUP) involves finding all occurrences of a fuzzy pattern in a text by considering fuzzy properties of characters. This approach extends beyond traditional string matching by incorporating additional linguistic information like morphological details and prosodic patterns for more accurate matches. In the context of DNA comparison, string algorithms based on crisp logical principles are typically used, but fuzzy matching techniques can handle linguistic uncertainty effectively. Furthermore, fuzzy segmentation of strings based on fuzzy properties is crucial for tasks like image processing and bioinformatics, with applications in decomposing functions efficiently. Overall, the fuzzy string matching algorithm in RUP leverages fuzzy properties to enhance pattern recognition accuracy in various applications.

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Proceedings ArticleDOI
Armen Kostanyan, Arevik Harmandayan 
01 Sep 2019
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25 Dec 2020
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